scholarly journals PDF-ED-based adaptive waveform optimization for small slow target detection in strong clutter

AIP Advances ◽  
2021 ◽  
Vol 11 (5) ◽  
pp. 055304
Author(s):  
Chengcheng Si ◽  
Bo Peng ◽  
Xiang Li
Keyword(s):  
Target Detection ◽  
Waveform Optimization

scholarly journals Antenna Polarization Optimization for Target Detection in Non-Gaussian Clutter

2015 ◽  
Vol 2015 ◽  
pp. 1-8
Author(s):  
Xu Cheng ◽  
Yong-zhen Li ◽  
Xue-song Wang
Keyword(s):  
Target Detection ◽  
Data Model ◽  
Radar Data ◽  
Waveform Optimization ◽  
Vector Measurement ◽  
Significant Performance ◽  
Non Gaussian ◽  
Antenna Polarization ◽  
Radar Polarization ◽  
Radar Antenna

Adaptive polarization design of radar antenna has recently become the focus of attention in radar polarization community. A polarimetric detector against non-Gaussian clutter with transmitter polarization optimization has been proposed in this paper. First, the radar data model including the realistic dependence of the clutter on the transmitted polarization is introduced. Then the polarimetric detector with transmitter polarization optimization is developed. By employing the simulation, we demonstrate that the polarization waveform optimization can bring the significant performance gain on target detection as compared to the conventional full-polarization approach. Besides, jointly optimizing transmitter and receiver polarization to form a scalar measurement is confirmed not to achieve a better detection performance than vector measurement with only transmitter polarization optimization.

scholarly journals Transmit Waveform Optimization for Spatial-Frequency Diversity MIMO Radar in the Presence of Clutter

2014 ◽  
Vol 2014 ◽  
pp. 1-9
Author(s):  
Yonghao Tang ◽  
Xiaofeng Ma ◽  
Weixing Sheng ◽  
Yubing Han
Keyword(s):  
Spatial Frequency ◽  
Target Detection ◽  
Mimo Radar ◽  
Radar System ◽  
Frequency Diversity ◽  
Frequency Channel ◽  
Waveform Optimization ◽  
Water Filling ◽  
Water Filling Algorithm ◽  
Complex Target

Benefitting from the independent target echoes of diversity channels, diversity MIMO radar can efficiently improve system performance, such as target detection and parameter estimation. Due to the fact that the RCS (radar cross section) of complex target may vary with the different transmitted carrier frequencies and array geometries, many recent researches study at the background of diversity MIMO radar equipped with widely separated array antennas or working at multiple carrier frequencies, respectively. In this paper, a new MIMO radar system combining the spatial and frequency diversities is investigated in the presence of signal-dependent clutter, which is called spatial-frequency diversity MIMO radar. With the prior information of target and clutter, a new method for joint optimization of transmitted waveforms and receiving filters is proposed to enhance the target detection ability of spatial-frequency diversity MIMO radar. Inspired by the MIMO communication system, the water-filling algorithm is introduced into the transmitted energy allocation problem for each carrier frequency channel. Simulation results show that the proposed system has a better performance in output signal-to-clutter-noise ratio (SCNR) compared to conventional diversity MIMO radar system.

scholarly journals Cognitive Radar Waveform Optimization Based on Mutual Information and Kalman filtering

Entropy ◽  
2018 ◽  
Vol 20 (9) ◽  
pp. 653 ◽  
Author(s):  
Yu Yao ◽  
Junhui Zhao ◽  
Lenan Wu
Keyword(s):  
Mutual Information ◽  
Target Detection ◽  
Kalman Filtering ◽  
Intelligent Transportation System ◽  
Intelligent Transportation ◽  
Cognitive Radar ◽  
Scattering Coefficients ◽  
Waveform Optimization ◽  
New Strategy ◽  
Selection Of

A new strategy to optimizing the waveforms of cognitive radar under transmitted power constraint is presented. Our scheme is to enhance the performance of target estimation by minimizing the MSE (mean-square error) of the estimates of target scattering coefficients (TSC) based on Kalman filtering and then minimizing mutual information (MI) between the radar target echoes at successive time instants. The two steps are the optimal design of transmission waveform and the selection of a reasonable waveform from the ensemble for emission, respectively. The waveform design technique addresses the problems of target detection and parameter estimation in intelligent transportation system (ITS), where there is a need of extracting the features of target information obtained from different sensors. As the number of iterations increases, simulation results show better TSC estimation from the radar scene provided by the proposed approach as compared with the traditional waveform optimization algorithm. In addition, the proposed algorithm results in improved target detection probability.

Selective Attention and Error Processing in an Illusory Conjunction Task

2005 ◽  
Vol 19 (3) ◽  
pp. 216-231 ◽  
Author(s):  
Albertus A. Wijers ◽  
Maarten A.S. Boksem
Keyword(s):  
Target Detection ◽  
Event Related Potentials ◽  
Illusory Conjunction ◽  
Conjunction Error ◽  
Error Related Negativity ◽  
Display Element ◽  
Related Potentials ◽  
Feature Error ◽  
High Level ◽  
Correct Target

Abstract. We recorded event-related potentials in an illusory conjunction task, in which subjects were cued on each trial to search for a particular colored letter in a subsequently presented test array, consisting of three different letters in three different colors. In a proportion of trials the target letter was present and in other trials none of the relevant features were present. In still other trials one of the features (color or letter identity) were present or both features were present but not combined in the same display element. When relevant features were present this resulted in an early posterior selection negativity (SN) and a frontal selection positivity (FSP). When a target was presented, this resulted in a FSP that was enhanced after 250 ms as compared to when both relevant features were present but not combined in the same display element. This suggests that this effect reflects an extra process of attending to both features bound to the same object. There were no differences between the ERPs in feature error and conjunction error trials, contrary to the idea that these two types of errors are due to different (perceptual and attentional) mechanisms. The P300 in conjunction error trials was much reduced relative to the P300 in correct target detection trials. A similar, error-related negativity-like component was visible in the response-locked averages in correct target detection trials, in feature error trials, and in conjunction error trials. Dipole modeling of this component resulted in a source in a deep medial-frontal location. These results suggested that this type of task induces a high level of response conflict, in which decision-related processes may play a major role.

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